Begin by examining the data set. Recognize how the data is recorded and how you may be able to use the given data to explore potential relationships between categories.
Scatterplot Questions
1. Create a scatterplot using average MPG and another category that you feel may influence fuel efficiency. Answer the following questions.
Identify the category you chose and why you thought there might be a relationship BEFORE creating the scatterplot?
Answer: HP and MPG
Create the scatterplot. Which category is your x-axis and which is your y-axis? Why did you create your scatterplot in that order?
Answer:X HP Y is MPG Because we felt there was a relationship
Do you believe there is a relationship between the two categories? Why or why not?
Answer:Basically Yes the dots indicate more HP Less MPG
If there appears to be a relationship, does it have a positive or negative slope? What does this mean about the relationship between the two categories?
Create the linear regession equation in Excel, which Excel calls the trend line. Click the boxes to create both the equation and the r2 value on the graph. Answer the following questions.
What is your regression equation? Explain what the equation means in words.
Answer:=-6.362x+307.5 some correlation but not strong
What is your r2 value? Is this a strong correlation? Why or Why not? If you are not sure, try searching the internet for supporting documents. Provide URL's for where you find your information
Answer: =.4301 no
Based on all the information you have, has your belief about the relationship of the two categories changes? Why or why not?
Answer: no, it still appears the lower the HP the greater the MPG
Analysis
Right click on the regression equation and select "Format Trendline". Explore the different variations of regression equations.
How would you determine which equation had the best relationship?
Answer: Power
Was the "Linear" option the optimal option? If so, why? If not, what was the better equation and why?
Answer: No Power and it matched the points better
Attach your Scatter Plots and Regression Information. Make sure your X and Y axis are correctly labeled. You may use Screen Shots to do so.
Back to Activity1Begin by examining the data set. Recognize how the data is recorded and how you may be able to use the given data to explore potential relationships between categories.
Scatterplot Questions
1. Create a scatterplot using average MPG and another category that you feel may influence fuel efficiency. Answer the following questions.
Answer: HP and MPGIdentify the category you chose and why you thought there might be a relationship BEFORE creating the scatterplot?
Answer:X HP Y is MPG Because we felt there was a relationshipCreate the scatterplot. Which category is your x-axis and which is your y-axis? Why did you create your scatterplot in that order?
Answer:Basically Yes the dots indicate more HP Less MPGDo you believe there is a relationship between the two categories? Why or why not?
Answer:Positive slow more HP less MPGIf there appears to be a relationship, does it have a positive or negative slope? What does this mean about the relationship between the two categories?
Regression Questions
(What is Regression?)
Create the linear regession equation in Excel, which Excel calls the trend line. Click the boxes to create both the equation and the r2 value on the graph. Answer the following questions.
Answer:=-6.362x+307.5 some correlation but not strongWhat is your regression equation? Explain what the equation means in words.
Answer: =.4301 noWhat is your r2 value? Is this a strong correlation? Why or Why not? If you are not sure, try searching the internet for supporting documents. Provide URL's for where you find your information
Answer: no, it still appears the lower the HP the greater the MPGBased on all the information you have, has your belief about the relationship of the two categories changes? Why or why not?
Analysis
Right click on the regression equation and select "Format Trendline". Explore the different variations of regression equations.
Answer: PowerHow would you determine which equation had the best relationship?
Answer: No Power and it matched the points betterWas the "Linear" option the optimal option? If so, why? If not, what was the better equation and why?